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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Causes of death and associated conditions (Codac) - A utilitarian approach to the classification of perinatal deaths
BMC Pregnancy and Childbirth, Volume 9, Article 22, Year 2009
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Description
A carefully classified dataset of perinatal mortality will retain the most significant information on the causes of death. Such information is needed for health care policy development, surveillance and international comparisons, clinical services and research. For comparability purposes, we propose a classification system that could serve all these needs, and be applicable in both developing and developed countries. It is developed to adhere to basic concepts of underlying cause in the International Classification of Diseases (ICD), although gaps in ICD prevent classification of perinatal deaths solely on existing ICD codes. We tested the Causes of Death and Associated Conditions (Codac) classification for perinatal deaths in seven populations, including two developing country settings. We identified areas of potential improvements in the ability to retain existing information, ease of use and inter-rater agreement. After revisions to address these issues we propose Version II of Codac with detailed coding instructions. The ten main categories of Codac consist of three key contributors to global perinatal mortality (intrapartum events, infections and congenital anomalies), two crucial aspects of perinatal mortality (unknown causes of death and termination of pregnancy), a clear distinction of conditions relevant only to the neonatal period and the remaining conditions are arranged in the four anatomical compartments (fetal, cord, placental and maternal). For more detail there are 94 subcategories, further specified in 577 categories in the full version. Codac is designed to accommodate both the main cause of death as well as two associated conditions. We suggest reporting not only the main cause of death, but also the associated relevant conditions so that scenarios of combined conditions and events are captured. The appropriately applied Codac system promises to better manage information on causes of perinatal deaths, the conditions associated with them, and the most common clinical scenarios for future study and comparisons. © 2009 Frøen et al; licensee BioMed Central Ltd.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC2706222/bin/1471-2393-9-22-S1.xls
Authors & Co-Authors
Frøen, J. Frederik
Norway, Oslo
Folkehelseinstituttet
United States, Boston
Harvard Medical School
Pinar, Halit
United States, Providence
The Warren Alpert Medical School
Flenady, Vicki J.
Australia, Brisbane
The University of Queensland
Australia, Brisbane
Mater Health Services Brisbane
Bahrin, Safiah
Malaysia, Putrajaya
Kementerian Kesihatan Malaysia
Charles, A. K.
Australia, Perth
King Edward Memorial Hospital for Women
Chauke, Lawrence
South Africa, Pretoria
Kalafong Hospital
Day, Katie
Australia, Brisbane
Mater Health Services Brisbane
Duke, Charles Wes
United States, Atlanta
Coordinating Center for Health Promotion
Facchinetti, Fabio F.
Italy, Modena
Università Degli Studi Di Modena e Reggio Emilia
Fretts, Ruth C.
United States, Boston
Harvard Medical School
Gardener, Glenn J.
Australia, Brisbane
The University of Queensland
Gibbons, Kristen Stacey
Australia, Brisbane
Mater Health Services Brisbane
Gordijn, Sanne Jehanne
Netherlands, Groningen
Universitair Medisch Centrum Groningen
Gordon, Adrienne
Australia, Sydney
Royal Prince Alfred Hospital
Guyon, Grace
Canada, Edmonton
Alberta Perinatal Health Program
Harrison, Catherine
Australia, Perth
Telethon Kids Institute
Koshy, Rachel
Malaysia, Putrajaya
Kementerian Kesihatan Malaysia
Pattinson, Robert Clive
South Africa, Pretoria
University of Pretoria
Petersson, Katherine H.
Sweden, Stockholm
Karolinska Universitetssjukhuset
Russell, L.
Canada, Edmonton
University of Alberta
Saastad, Eli
Norway, Oslo
Folkehelseinstituttet
Norway, Oslo
Oslomet – Storbyuniversitetet
Smith, Gordon C.S.
United Kingdom, Cambridge
School of Clinical Medicine
Torabi, Rozbeh
United States, Providence
The Warren Alpert Medical School
Statistics
Citations: 23
Authors: 23
Affiliations: 19
Identifiers
Doi:
10.1186/1471-2393-9-22
e-ISSN:
14712393
Research Areas
Health System And Policy
Maternal And Child Health
Sexual And Reproductive Health